An Effective Approach of Teeth Segmentation within the 3D Cone Beam Computed Tomography Image Based on Deformable Surface ModelReportar como inadecuado




An Effective Approach of Teeth Segmentation within the 3D Cone Beam Computed Tomography Image Based on Deformable Surface Model - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Mathematical Problems in Engineering - Volume 2016 2016, Article ID 9505217, 10 pages -

Research Article

School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China

College of Science, Harbin Institute of Technology, Harbin 150001, China

School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China

Received 8 April 2015; Revised 8 September 2015; Accepted 27 September 2015

Academic Editor: Francisco Chicano

Copyright © 2016 Xutang Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In order to extract the pixels of teeth from 3D Cone Beam Computed Tomography CBCT image, in this paper, a novel 3D segmentation approach based on deformable surface mode is developed for 3D tooth model reconstruction. Different forces are formulated to handle the segmentation problem by using different strategies. First, the proposed method estimates the deformation force of vertex model by simulating the deformation process of a bubble under the action of internal pressure and external force field. To handle the blurry boundary, a -braking force- is proposed deriving from the 3D gradient information calculated by transforming the Sobel operator into three-dimension representation. In addition, a -border reinforcement- strategy is developed for handling the cases with complicate structures. Moreover, the proposed method combines affine cell image decomposition ACID grid reparameterization technique to handle the unstable changes of topological structure and deformability during the deformation process. The proposed method was performed on 510 CBCT images. To validate the performance, the results were compared with those of two other well-studied methods. Experimental results show that the proposed approach had a good performance in handling the cases with complicate structures and blurry boundaries well, is effective to converge, and can successfully achieve the reconstruction task of various types of teeth in oral cavity.





Autor: Xutang Zhang, Xiaofeng Chen, Yan Liu, Bo Han, Ting Zhuang, and Wangmeng Zuo

Fuente: https://www.hindawi.com/



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